Seyyed Mehdi Hosseini

Work place: Dept. of Computer and Electrical Engineering, Babol Noshirvani University of Technology, Babol, Iran



Research Interests: Engineering


Mehdi Hosseini (1978-), male, Sari, Iran, Assistant Professor, Ph.D., his research directions include application of Flexible AC Transmission Systems (FACTS) devices in Transmission systems, application of Distribution FACTS (D-FACTS) devices in distribution systems, distributed generation and reliability of distribution systems.

Author Articles
GA Based Optimal Placement of DGs for Loss Reduction and Reliability Improvement in Distribution Networks with Time Varying Loads

By Zahra Boor Seyyed Mehdi Hosseini

DOI:, Pub. Date: 8 Mar. 2013

The distributed generation (DG) locations have significant impacts on network reliability and loss. This paper presents a method for optimal DG allocation and sizing in distribution systems in order to reduce network loss and improve system reliability at the lowest cost. For this purpose, a multi-objective cost function considering active power loss, reliability index and DG cost is used to find the optimal size and location of DG units. Also, a load duration curve including four load levels with different weighting factor is considered. Moreover, the optimization technique that is based on Genetic Algorithm (GA) is implemented. In this paper, ECOST index is considered for reliability evaluation in the cost function and also, the effects system reconfiguration, is also considered for reliability assessment. To evaluate the proposed algorithm, the IEEE 33-bus and 69-bus test systems are employed and the results obtained reveal the effectiveness of proposed method.

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Placement of DG and Capacitor for Loss Reduction, Reliability and Voltage Improvement in Distribution Networks Using BPSO

By Reza Baghipour Seyyed Mehdi Hosseini

DOI:, Pub. Date: 8 Nov. 2012

This paper presents multi-objective function for optimally determining the size and location of distributed generation (DG) and capacitor in distribution systems for power loss minimization, reliability and voltage improvement. The objective function proposed in this paper includes reliability index, active power loss index, DG's and capacitor's investment cost index and voltage profile index which is minimized using binary particle swarm optimization algorithm (BPSO). The effectiveness of the proposed method is examined in the 10 and 33 bus test systems and comparative studies are conducted before and after DG and capacitor installation in the test systems. Results illustrate significant losses reduction and voltage profile and reliability improvement with presence of DG unit and capacitor.

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Other Articles